A Fault Detection Technique based on Numerical Taxonomy in WSNs

نویسندگان

  • Song Jia
  • Peng Xiyuan
چکیده

Failures are inevitable in wireless sensor networks due to the fragile features and unattended deployment. To explore an effectual technique for node’s fault detection caused by energy consumption, a new algorithm, Fault Detection Technique based on Numerical Taxonomy (FDNT) is proposed in this paper. The algorithm is deployed on the sink node with unconstrained energy consumption and is on the basis of dividing WSNs into clusters according to their geographical distribution. Simulation results indicate that this algorithm can get high detection accuracy and will consume less energy.

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تاریخ انتشار 2013